Zobrazeno 1 - 10
of 24 689
pro vyhledávání: '"ZHOU, JUN"'
Autor:
Zhou, Jun, Wang, Xiongrui
Publikováno v:
Comptes Rendus. Mécanique, Vol 351, Iss G2, Pp 219-226 (2023)
In this paper, we study the Dirichlet problem for a semilinear pseudo-parabolic equation. By using the energy estimates and ordinary differential inequalities, we studied the upper and lower bounds of blow-up time of the solutions. The results of thi
Externí odkaz:
https://doaj.org/article/bc592b1484264384890d2a7fd8328af1
The $\text{Cu}_7\text{P}\text{S}_6$ compound has garnered significant attention due to its potential in thermoelectric applications. In this study, we introduce a neuroevolution potential (NEP), trained on a dataset generated from ab initio molecular
Externí odkaz:
http://arxiv.org/abs/2411.10911
Crystals exhibiting glass-like and low lattice thermal conductivity ($\kappa_{\rm L}$) are not only scientifically intriguing but also practically valuable in various applications, including thermal barrier coatings, thermoelectric energy conversion,
Externí odkaz:
http://arxiv.org/abs/2411.05600
Autor:
Shah, Keyur D., Zhou, Jun, Roper, Justin, Dhabaan, Anees, Al-Hallaq, Hania, Pourmorteza, Amir, Yang, Xiaofeng
Photon-counting computed tomography (PCCT) marks a significant advancement over conventional energy-integrating detector (EID) CT systems. This review highlights PCCT's superior spatial and contrast resolution, reduced radiation dose, and multi-energ
Externí odkaz:
http://arxiv.org/abs/2410.20236
Optimization problems are prevalent across various scenarios. Formulating and then solving optimization problems described by natural language often requires highly specialized human expertise, which could block the widespread application of optimiza
Externí odkaz:
http://arxiv.org/abs/2410.13213
Large vision language models (VLMs) combine large language models with vision encoders, demonstrating promise across various tasks. However, they often underperform in task-specific applications due to domain gaps between pre-training and fine-tuning
Externí odkaz:
http://arxiv.org/abs/2410.06456
The Direct Segment Anything Model (DirectSAM) excels in class-agnostic contour extraction. In this paper, we explore its use by applying it to optical remote sensing imagery, where semantic contour extraction-such as identifying buildings, road netwo
Externí odkaz:
http://arxiv.org/abs/2410.06194
Koopman spectral analysis plays a crucial role in understanding and modeling nonlinear dynamical systems as it reveals key system behaviors and long-term dynamics. However, the presence of measurement noise poses a significant challenge to accurately
Externí odkaz:
http://arxiv.org/abs/2410.00703
Autor:
Zhou, Jun-Yu, Yang, Quan-Hui
Publikováno v:
Comptes Rendus. Mathématique, Vol 359, Iss 4, Pp 493-500 (2021)
Let $A$ be a set of nonnegative integers. Let $(h A)^{(t)}$ be the set of all integers in the sumset $hA$ that have at least $t$ representations as a sum of $h$ elements of $A$. In this paper, we prove that, if $k \ge 2$, and $A=\left\lbrace a_{0}, a
Externí odkaz:
https://doaj.org/article/4e832b0d1af04b5a9884f0665cecd53f
Over the past few years, vision transformers (ViTs) have consistently demonstrated remarkable performance across various visual recognition tasks. However, attempts to enhance their robustness have yielded limited success, mainly focusing on differen
Externí odkaz:
http://arxiv.org/abs/2409.19850